Science & Math | Mathematics

A Probabilistic Theory of Pattern Recognition

by Luc Devroye

2020-05-07 14:38:49

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Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approac... Read more
Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material. Less

Book Details

File size9.21x6.14x1.33inches
Print pages638
PublisherSpringer
Publication date November 1, 2013
LanguageEnglish
ISBN9781461268772
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Luc Devroye
Author
...

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